25 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors worked with five real-world domains: child welfare, education, cybersecurity,...

The dataset analyzed in this study comprises threads and comments from the sarcoidosis forum on the social media platform Reddit.

The dataset used in this section is based on WHO (2000) study which contains annual information on healthcare attainments in 191 countries in 1993-1997.

Sexual Health FeedbackLog

Asthma Conversation Agent FeedbackLog

MIMIC is a public dataset that describes clinical information of patients admitted to an Intensive Care Unit at the Beth Israel Deaconess Medical Center in Boston, Massachusetts...

Infant mortality dataset (1% downsampling)

Infant mortality dataset

Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on...

Medical claims data for over 300,000 members from Partners for Kids (PFK) between 2014 to 2016.

Heath-care data in PhysioNet Challenge 2012 consists of 4000 clinical time series with 35 variables.

The Hispanic Community Health Study (HCHS) dataset is a collection of wearable activity data from 1887 people with Latino origin between the ages of 18 and 75.

A dataset for gait analysis using a single RGB camera and a mobile tele-robot for healthcare

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

This dataset is used to test the proposed algorithm LinCFA on real data.

The NFPC dataset is a population-based health survey dataset. This dataset contains detailed personal characteristics of both spouses, which are mainly divided into the...

The dataset used in this study is composed of 1.4 million individuals, with 1.2 billion laboratory test results, covering 47 laboratory-tested human physical components.

The dataset used in the paper is the Breast Cancer Wisconsin (Original) dataset, which contains 699 entries, 9 dimensions, and 2 classes.

The dataset used in the paper is the Pima Indian diabetes dataset, which contains 768 entries, 8 dimensions, and 2 classes.

The dataset used in this paper for healthcare data democratization and information leakage prevention.